
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "130"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 101 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 97 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	0.350937	15.687643	-0.678079	80.831757	-0.866509	26.245360	-1.146905	30.746237	0.7368	0.0890	0.4604	10.107954	8.399325
2459593	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.129575	17.366346	0.020241	86.092627	0.137077	37.480518	0.000496	12.742583	0.6645	0.0768	0.3976	5.756819	5.596047
2459592	digital_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	0.610738	1.615711	0.043028	7.684125	-0.852316	3.102892	-1.889772	1.475583	0.0332	0.0683	0.0027	nan	nan
2459591	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.742883	20.392616	0.097038	99.942324	-0.489209	32.221039	-0.332720	4.803185	0.6036	0.0643	0.4058	4.695718	1.253918
2459590	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.251244	24.301735	-0.048100	93.061559	-0.719749	34.491732	-0.527133	8.097387	0.6076	0.0713	0.4119	6.871985	8.397931
2459589	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.555667	21.943266	-0.452474	86.250882	-0.691845	21.756138	-0.744486	17.903480	0.6502	0.0740	0.4123	6.232542	6.735432
2459588	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	229.000034	228.713872	inf	inf	23.410214	26.984858	18.656415	16.690062	nan	nan	nan	0.000000	0.000000
2459587	digital_maintenance	100.00%	-	-	-	100.00%	0.00%	-0.702843	21.710774	0.826022	140.774625	0.665629	10.341638	3.612048	20.611297	nan	nan	nan	9.356484	6.402657
2459586	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.373789	19.579675	-0.840708	32.433246	-0.333942	11.212307	0.190182	9.499871	0.6137	0.0679	0.3994	3.848199	1.412482
2459585	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.058058	26.044483	-0.758546	11.002379	0.256555	10.103551	-0.541975	6.927673	0.0335	0.0703	0.0022	0.000000	0.000000
2459584	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.477122	24.926693	-0.812692	116.024335	-0.372304	17.455857	0.277686	9.486508	0.5610	0.0480	0.3839	9.036227	11.763598
2459583	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.340195	19.053667	-0.923144	35.731392	-1.086360	23.094470	0.133125	0.614625	0.6119	0.0592	0.4342	4.352240	4.193508
2459582	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.501695	16.504441	-0.778100	32.438462	-0.785389	28.057047	0.090401	0.747178	0.6187	0.0558	0.4347	4.468745	4.548756
2459581	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.717806	23.029687	-0.750234	36.595200	-0.679849	22.644445	-0.536819	0.889040	0.6152	0.0604	0.4275	4.160206	5.852823
2459580	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.528030	17.406640	-0.821565	37.486997	-0.990850	23.851497	-0.728480	0.516353	0.6241	0.0629	0.4344	6.007236	5.753518
2459579	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.535863	17.339654	-0.693253	42.591627	-0.599580	26.945523	-0.152052	2.247688	0.6193	0.0581	0.4345	5.369374	5.539059
2459578	digital_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.299408	1.653612	-0.790978	2.779503	0.011453	0.096117	-0.507156	2.541186	0.0341	0.0930	0.0032	nan	nan
2459577	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.501418	22.408452	-0.909695	34.211971	-0.321173	24.576901	-0.631903	0.691104	0.6155	0.0573	0.4418	5.354696	5.600807
2459576	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.128528	17.503781	-0.622232	27.434726	-0.244893	21.742374	-0.268148	1.463409	0.6409	0.0633	0.4233	5.743707	5.936673
2459575	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.430912	17.931208	-0.919192	27.260859	-1.115670	16.707204	-0.865479	5.794045	0.7149	0.0802	0.4617	6.506753	6.947585
2459574	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.909536	16.309651	-0.837741	26.089174	-0.185610	24.084364	-0.645961	0.954171	0.6389	0.0580	0.4086	4.694545	5.204407
2459573	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.183340	16.822620	-0.874003	44.903233	-0.787264	27.942566	0.811125	2.034617	0.6370	0.0583	0.4153	4.987624	6.332223
2459572	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.576325	16.972019	-0.846841	26.233490	-0.439072	17.749418	0.053119	3.188910	0.6396	0.0611	0.4119	6.204540	6.320479
2459571	digital_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.069952	1.324754	-0.707504	2.840820	0.161960	-0.076516	-0.643139	2.404154	0.0327	0.0860	0.0027	nan	nan
2459570	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.455430	20.588760	-0.794332	34.031167	-0.693204	10.340414	-0.531204	8.718399	0.7243	0.1083	0.4179	5.234750	5.048492
2459566	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.397871	16.130038	-0.746177	34.029589	-0.615227	21.473601	-0.407700	0.215209	0.6365	0.0508	0.3741	3.901578	5.277784
2459565	digital_maintenance	0.00%	-	-	-	100.00%	0.00%	0.525629	0.525629	0.479082	0.479082	-0.763628	-0.763628	-0.844260	-0.844260	nan	nan	nan	0.000000	0.000000
2459564	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.153517	14.775684	-0.517308	36.134671	-0.072206	2.313944	-0.026964	2.145698	0.6401	0.0612	0.4316	4.009346	3.782974
2459563	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.704484	16.499349	-1.012944	69.016920	-0.876723	22.207750	-0.140766	4.942112	0.6428	0.0629	0.4416	4.518552	5.804087
2459562	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.714668	10.553514	-0.151921	17.783973	0.132794	2.668969	0.055268	1.032444	0.6428	0.0609	0.4400	3.738999	3.646729
2459561	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.886006	11.204713	-0.321342	16.952298	-0.074488	2.904240	0.126745	1.633905	0.6469	0.0656	0.4611	3.533101	4.725421
2459560	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.745012	10.202436	-0.130652	17.187823	0.423261	2.947702	0.182501	0.950039	0.6458	0.0601	0.4486	4.140916	4.191048
2459559	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.439917	13.255879	-0.253824	18.854878	0.188137	3.272143	0.090120	1.341377	0.6451	0.0644	0.4313	3.518421	3.466680
2459558	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.292546	17.190811	-0.627910	36.093387	-0.915542	23.061368	1.697970	2.143473	0.6489	0.0611	0.4369	6.461823	5.878817
2459557	digital_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0348	0.0856	0.0032	nan	nan
2459556	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.230769	17.743397	-0.674687	39.059121	-0.113968	20.801651	2.350010	4.190243	0.6370	0.0630	0.4453	6.488011	4.693200
2459554	digital_maintenance	-	0.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6481	0.0583	0.4384	nan	nan
2459553	digital_maintenance	-	0.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6442	0.0630	0.4422	nan	nan
2459552	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.175419	21.188071	-0.948517	51.482871	-0.008119	31.885379	-0.635789	3.474530	0.6507	0.0568	0.4425	7.790762	8.718910
2459551	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.909668	10.288259	-0.258381	20.895677	0.484917	4.098841	0.269539	1.507970	0.6409	0.0612	0.4280	3.850843	4.319432
2459550	digital_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0324	0.0587	0.0026	nan	nan
2459549	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.353029	15.563461	-0.988822	38.902653	-0.683145	22.719133	-0.006823	1.711444	0.6450	0.0582	0.4429	3.745592	5.655915
2459542	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.589770	22.062285	-0.683607	78.819822	-0.519727	1.906580	-0.318077	3.418945	0.7147	0.0729	0.4588	4.034179	3.636261
2459541	digital_maintenance	100.00%	1.34%	100.00%	0.00%	100.00%	0.00%	-1.172009	10.171725	-0.870214	37.042063	-0.662850	255.050124	-0.902195	15.486367	0.7041	0.0794	0.4520	4.252230	5.336817
2459540	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.299136	15.457415	-0.440083	17.958049	0.137227	5.262403	-0.083392	1.105937	0.7135	0.0709	0.4750	3.756535	3.668227
2459536	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.621415	26.386019	-0.976400	66.859964	0.762246	31.429891	-0.327065	2.690898	0.0751	0.0387	0.0660	0.000000	0.000000
2459535	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.061295	12.493221	-0.236746	16.481494	-0.002555	5.789934	0.122011	0.822733	0.0817	0.0399	0.0624	41.877778	1.190563
2459534	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.045560	12.642957	-0.223564	15.269397	0.529334	4.024271	0.223027	0.396355	0.0797	0.0391	0.0684	0.000000	0.000000
2459533	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.564186	18.997063	-0.843668	36.564085	-0.666025	20.602781	0.116363	2.389392	0.0733	0.0375	0.0650	0.000000	0.000000
2459532	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.853978	22.209017	-0.907996	49.525171	-0.658940	25.396225	-0.439573	1.304937	0.0715	0.0384	0.0618	0.000000	0.000000
2459530	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.869758	10.982953	-0.208273	15.472604	0.402543	4.222766	0.151840	1.004176	0.0790	0.0415	0.0697	18.605183	1.218727
2459527	digital_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-1.441254	26.837793	-1.013691	55.217917	-0.846048	34.795683	-0.642827	0.907721	0.9090	0.1018	0.6003	0.000000	0.000000
2459523	digital_maintenance	100.00%	-	-	-	100.00%	0.00%	-1.780396	22.229184	-0.793634	52.689923	0.697248	29.960817	0.057065	2.678472	nan	nan	nan	10.566245	1.436956
2459522	digital_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	-0.995161	23.274718	-1.081734	53.495881	2.003962	23.760779	0.468795	2.145368	0.6290	0.0565	0.4458	0.000000	0.000000
2459513	digital_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.016003	-0.393467	-0.807418	-0.931441	0.908429	3.073913	-0.585973	0.985677	0.0329	0.0587	0.0019	nan	nan
2459508	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.048076	0.118997	-1.151555	1.967486	-1.052040	1.156727	-0.671921	1.653478	0.9077	0.9573	0.1902	0.000000	0.000000
2459505	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.984499	0.977181	-0.791115	2.414394	0.769373	7.600892	0.385992	32.697239	0.8884	0.8616	0.1995	14.492009	16.797675
2459503	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.779121	1.195163	-0.907129	2.245121	-0.416450	1.208304	-0.468750	1.296664	0.8558	0.8533	0.4571	0.000000	0.000000
2459501	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.673294	1.294229	-0.420101	1.562712	-0.944459	0.434928	0.100308	1.094176	0.8509	0.8932	0.3939	0.000000	0.000000
2459500	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.245088	1.040626	-0.663656	1.516067	-0.181993	1.885047	2.027577	2.543909	0.8535	0.8863	0.3813	0.000000	0.000000
2459499	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.023976	1.815546	-1.069771	2.301823	-0.130398	3.506960	2.924168	4.676297	0.8780	0.9368	0.1793	0.000000	0.000000
2459498	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.980141	1.387341	-0.775809	1.568028	-0.330636	2.163636	0.235395	1.887496	0.8620	0.8876	0.4170	0.000000	0.000000
2459497	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.155203	1.742230	-0.419149	1.321410	-0.335730	3.411505	-0.588353	2.012542	0.8833	0.9276	0.3412	0.000000	0.000000
2459496	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.367787	1.980165	-0.850689	1.592015	0.014199	2.753281	1.151686	2.294164	0.8958	0.9066	0.3898	0.000000	0.000000
2459495	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.127567	1.407235	-0.834091	1.273646	0.391042	3.177032	0.867068	2.241626	0.8908	0.9030	0.4296	0.000000	0.000000
2459494	digital_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.835778	1.756009	-0.790415	1.648576	0.506396	3.112627	-0.008068	1.561756	0.8799	0.8943	0.4423	0.000000	0.000000
2459492	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.461679	2.949590	-0.524091	0.250915	0.195191	0.524565	0.175758	9.093606	0.7463	0.8013	0.3445	5.155412	4.879535
2459491	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.365411	3.378391	-0.590593	0.588218	0.263447	2.706858	-0.103415	5.040402	0.7828	0.8159	0.2841	3.667311	2.759637
2459490	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.710521	3.358956	-1.035143	-0.533245	0.243035	0.215361	0.211686	9.357776	0.7394	0.7981	0.3922	5.845556	4.546201
2459489	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.393843	3.368124	-0.811305	0.137842	0.724078	0.575106	0.080196	6.496077	0.7553	0.8036	0.3386	6.052866	4.562304
2459488	digital_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.055733	2.982133	-0.598770	0.427209	0.564458	2.707908	1.005455	11.553912	0.7553	0.8069	0.3713	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 130 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 130, Node 10:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 130: 2459625

Antenna 130: 2459624

Antenna 130: 2459623

Antenna 130: 2459622

Antenna 130: 2459621

Antenna 130: 2459620

Antenna 130: 2459619

Antenna 130: 2459618

Antenna 130: 2459617

Antenna 130: 2459616

Antenna 130: 2459615

Antenna 130: 2459614

Antenna 130: 2459613

Antenna 130: 2459612

Antenna 130: 2459611

Antenna 130: 2459610

Antenna 130: 2459609

Antenna 130: 2459608

Antenna 130: 2459607

Antenna 130: 2459605

Antenna 130: 2459604

Antenna 130: 2459603

Antenna 130: 2459602

Antenna 130: 2459598

Antenna 130: 2459597

Antenna 130: 2459596

Antenna 130: 2459595

Antenna 130: 2459594

Antenna 130: 2459593

Antenna 130: 2459592

Antenna 130: 2459591

Antenna 130: 2459590

Antenna 130: 2459589

Antenna 130: 2459588

Antenna 130: 2459587

Antenna 130: 2459586

Antenna 130: 2459585

Antenna 130: 2459584

Antenna 130: 2459583

Antenna 130: 2459582

Antenna 130: 2459581

Antenna 130: 2459580

Antenna 130: 2459579

Antenna 130: 2459578

Antenna 130: 2459577

Antenna 130: 2459576

Antenna 130: 2459575

Antenna 130: 2459574

Antenna 130: 2459573

Antenna 130: 2459572

Antenna 130: 2459571

Antenna 130: 2459570

Antenna 130: 2459569

Antenna 130: 2459566

Antenna 130: 2459565

Antenna 130: 2459564

Antenna 130: 2459563

Antenna 130: 2459562

Antenna 130: 2459561

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Antenna 130: 2459559

Antenna 130: 2459558

Antenna 130: 2459556

Antenna 130: 2459552

Antenna 130: 2459551

Antenna 130: 2459549

Antenna 130: 2459542

Antenna 130: 2459541

Antenna 130: 2459540

Antenna 130: 2459536

Antenna 130: 2459535

Antenna 130: 2459534

Antenna 130: 2459533

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶